Started career as desktop and web developer. From 2010 switched to data science and algorithm development. Works as Data Scientist at Grid Dynamics. Also lecturing at NTU “KhPI” at “Computer mathematics and mathematical modelling” department. Highly interested at linear and nonlinear optimization, dynamic systems identification, clustering methods.
Topic: Online Machine Learning.
Short Description: Online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update our best predictor for future data at each step. In the talk, we will motivate online machine learning, discuss how it differs from usual machine learning algorithms and present short survey of modern online algorithms.